I need a German phone number, so I need a German SIM.

My preference would be a prepaid year because it’s a bit cheaper. Also, I have a physical sim slot and would rather use a physical sim than an eSIM.

Many apps (Mein O2, MeinMagenta for cell services and most of the local transit apps) are region locked. I can’t currently change my Apple ID to Germany and can’t make a new Apple ID for Germany without a German phone number.

Any hot takes on Telekom, Vodafone, O2, etc. or recommendations on getting a physical SIM card?

Note: The Aldi closest to me only had eSIM today or thought they only had eSIM.

Edit: I actually need a phone number for things, e.g. kita being able to call me if one of my kids get sick at daycare.

Do you ever get that FOMO feeling that all your friends and family use insert-social-media-app name? That you are the outcast fighting the uphill battle of avoiding those horrible apps and the forced advertising they shove into your eyeballs every minute? Well, I did, and decided to give Instagram a shot to see how things are.

Well, you will not be surprised to hear that it is as awful as you probably imagine. It did not get better since I left maybe 5 years ago. It got worse. The only way it's better is, funny enough, the technical creative element. You can do a lot more. The video editor for the reels is surprisingly good and easy to use. Far better than iMovie (on iOS). Aaaand that's about it! Everything else is worse. More ads, more content that I just don't care about, etc.

An important realization about the content itself, reels and stories. We all know it's one-sided, that you often see only one side of a person. That's not new. What I did feel this time around is that, coming from zero FB/Insta/X/TikTok for over 5 years, being exposed to this kind of content suddenly starts inserting a vast amount of self-doubt in one's daily life. I'll use a mild example: fitness! I am an active person, I exercise more or less regularly, I walk my dogs, I do some outdoor activities, light sports, etc. Well, I start seeing content on this topic, and initially think "Oh, this guy has some good tips!" But then I see 10 other content creators with 10 different ideas of what is "right" and I end up so confused, doubting whether I am doing things right. Now take this example and think about other topics: mental health is a big one! All of a sudden I see these ads and accounts targeting me and making me feel like I'm not happy enough, or not investing enough time in whatever thing they are selling. I have a pretty strong radar for this stuff, I am conscious of how this works and on alert. It didn't get to me because I spotted the trend early. But I am wondering how many people are aware of this? Here on Tildes, probably most. Outside, in the wild? People glued to FB/Insta/X all the time? Probably very few.

A family member is constantly on Instagram, consuming this "mental health" content. When you get 10 different types of advice, how are you to know what to prioritize, what actually works. I think it does more harm than good. Zero advice may be preferable, in a way that lets your own psyche figure it out versus being bombarded by these "helpful" content creators.

I did go back to Instagram primarily to get back in touch with friends and family who I lost track of, or who use Instagram as a way of creative expression. Sadly, I realized few people actually do that, and most are just lurking, or watching reels and sharing reels. This gets old fast. Yes, some reels are funny and it's fun to laugh with the person next to you. But they are also addictive and I found myself defaulting to scrolling over other activities that are far healthier for the brain and for the heart.

What do you think? Am I way off the mark here? Did you have a similar experience with these platforms?

With CES 2026 coming to a close, I figured that like last year, I should make a thread to see what people are excited (or not excited) for.

I honestly wasn't that excited (see recent state of US economy) but I want to your thoughts!

Previous Topics:

Dell's CES 2026 chat was the most pleasingly un-AI briefing I've had in maybe five years
I didn't post in the thread as I didn't have much to add, the top post by @Oxalis basically sums up my thoughts

Nice to see them be honest about how this isn't really panning out. Everyone wants AI except the consumer.

Clicks Communicator: the ultimate communication companion
Again didn't post in here but I'm glad there is a still a market for niche phone.

• I have an AMD processor that is not supported by Windows 11.
  • I don't wanna deal with the consequences of workarounds.
• I have an old NVIDIA graphics card that was never even close to being a flagship. It is essentially unsupported on Linux (I’ve tested it).
• I intend to keep running Windows 10 for as long as possible, using either official or unofficial means.
• My current Windows installation is becoming unmanageable, as Windows often does.
• I am a competent Linux user, and I run Linux on my laptop.
  • I have WSL2 on Windows 10 and it is great. Especially because I am a heavy Emacs user. I cannot live in an OS that does not allow me the full power of Emacs over a Linux base. This greatly reduces the need for bare-metal Linux.
  • One reason to keep running Windows (at least in a dual-boot setup) is that WoW runs at around 30 FPS on Linux for me. Other games have different issues.
    • I often run games from shady origins that are not obtained from Steam and tools such as Lutris and Bottles are just not there yet in terms of ease of use. I don't enjoy doing a lot of work just to play a game.
  • I understand that there are ways around almost any issue on Linux; I just don’t have the energy right now.

Any suggestions for post-installation cleanup and removing crap from Windows 10?

Thanks!

For reference, I have next to zero knowledge of building electronics. I've replaced the joysticks on two Nintendo joycons (which I actually found pretty fun), and that's it. I also have no experience with 3D printing or designing specific products.

I am also sick of touch screen keyboards on phones, do not like any of of the phones that do have keys or the Clicks phone case (why is it on the BOTTOM—), and currently have a lot of free time.

So my question to you: how would I go about designing my own slide out case with its own keyboard?

Because that is my ideal solution at this point. And in fact, it turns out someone DID make a 3D printed "slider terminal" this year. Except it's for the Note 10 (I have a Galaxy S9), and seems to be used as a full-fledged replacement for a desktop experience with a trackpad. That's neat and will probably appeal to a lot of people here, but personally, I just need physical keys.

Along with the keyboard used for that terminal, I also found this other tiny keyboard which doesn't have the trackpad and is about the same dimensions as my Galaxy S9. Actually I found that first and was trying to figure out if there were any cases that could store and pop that out. The biggest issue is that it would cover my camera except maybe when it's slid out, but screw it, I want a damn physical keyboard.

I do have access to 3D printers (yay public libraries!) and I'm willing to learn Blender in order to make this thing. I just need advice on where to begin and how to tackle this. In particular, I have no clue how to go about the slide out part. I feel like I should be able to figure out how to make a case that fits the dimensions of my phone and the keyboard fairly easily, but no idea where to begin with researching the sliding component.

Besides that, I also know that I'm not alone here in my frustrations with phone keyboards, so I'm hoping we can pool together ideas on how to do this. As far as I can tell there's not really a "one size fits all" solution that would work for all phones (well, except perhaps a foldable case instead of slide-out), but maybe we can at least share decent starting points for people to design their own. For instance, the slider terminal uses a keyboard that came with a remote, and it would never have occurred to me that could be used for this sort of project. And there are a lot of potential workarounds for the camera placements, so Person A may have an idea that doesn't work well for them, but does work better for Person B than their own original idea.

So yeah. Advice, ideas and general brainstorming are welcome!

Started a new job today and got a mac as a dev machine. I won't do technical onboarding until later in the week, so I haven't seen what the dev tools are like, but today I was driving myself crazy just trying to do basic things like copy, paste, screenshot, change windows.

At the last job, we had ubuntu machines, so I was able to use gnome extensions to mostly replicate the same general layout, menus, and shortcut keys as Windows. Primarily, this allowed me to keep the same "muscle memory". Since the ubuntu gnome desktop is nothing special from a UX point of view, there didn't seem to be a downside. But I understand that the Mac experience is very curated, so I'm thinking I should lean into learning it.

So my questions are: what are your mac pro tips and things that speed up your work? And for others who have made this transition, what did you learn to do the "mac way" and what did you tweak?

I have a computer that is not quite powerful enough to run my flight simulators, but which is still quite capable. I tried to sell it for close to what I bought it for, after using it maybe 50 hours, but the stink of "used" was on it, so I only got low ball offers for the system as a whole. Selling the individual components would be better but take substantially more effort. Instead, after finding an absurdly good 64 GB RAM deal ($150 for DDR4, in early December, crazy), I decided to use it to educate myself on some work-adjacent science simulation capabilities, putting it at home to avoid the feeling like I'm doing work (and also so I can install nonsense on it if I want).

I settled on Pop! OS, after finding out it has the best NVIDIA GPU support of the .deb Linux family, and installed 22.04 on it last month. After a standard "oops I messed something up on a new-to-me Linux distro, might as well wipe it," I reset the bios to see if it fixed things, then loaded 24.04 on a live USB and ran the update at POST.

24.04 made some very big changes to Pop! OS, which I won't list, other than one that puzzles me. After installing, I ran Geekbench 6 to benchmark it, and I found out my system CPU performance was about 33% down from the prior benchmark. I rationalized this as being due to no XMP being on, and tried to enter BIOS on boot...but Pop24 refused to enter BIOS, and my motherboard didn't even POST? But it would load into Pop24 without issue? So I was stuck without a way to tune my system. I eventually removed the SSD, hard wiped it on a separate device, and reinstalled Pop22, whereafter I was able to enter BIOS and enable XMP. Performance was restored, and even better than ever.

My question...why is Pop24 different? I tried to disable fastboot. I tried to have it use systemctl to reboot into settings. I tried everything I could find online. The best guess I have is something to do with UEFI? But I have no clue. I'm not really a computer guy, I just futz around, and I don't know what I'm doing.

For a while now, I was getting micro-annoyed by all the "colour vomit" in my app drawer and on some modern websites and apps - even with my fairly minimal set of apps.

Thus, around a month ago, I spontaneously decided to reduce my screen's saturation by almost half... And it actually felt pretty natural! I stopped noticing it merely minutes later, and I still never notice it unless I look at another screen while using my phone or unless I'm trying to take a photo of something where colours are very important - like when I wanted to show someone my eyeshadow blend recently. Today, my partner and I were watching old pictures/videos of the cat, and she didn't notice the lower saturation either.

I'm aware someone on Tildes is using a phone in pure greyscale mode, but is anyone using the same "trick" as me? What are your experiences

Just a passing thought, came up in conversation. I'm not talking about warehouses-full, nor even "retirement savings" quantities, but like, all the RAM you and your friends and family could possibly need for the next 3-4 years.

Pros, cons? Too late? Too volatile? Too ___?

I am really not sure if this topic belongs in ~tech or ~society or ~talk but I trust the moderators to re-assign accordingly.

So, this is the layout of the "development" team of my companies.

there are 4 "development" teams which reports to the development manager who also occasionally codes.
There is one team, that's the one I am on. 7 people, 6 males.
there is another team, 4 people, 3 males.
there is another team, 5 people, 4 males.
The last team, I don't really consider "development" team. its a team of 4 females. What they are best suited for is QA in the sense of manually testing the product to ensure the experience is sufficient for push to PROD, But because of budget restrictions, they are being forced to learn code and testing suites so they can be the people to develop our testing structure. They are great people and excellent Manual QAers but they really are not developers.

All our tech managers and team leads are men with the exception of the team lead for QA (obviously).

And just to be clear, the culture is friendly and respectful and no complaints. It's just the gender ratio is pathetic.

So our tech gender ratio is really 17 people and 3 women which is 17%.
If you want to consider the QA team a dev team to bump up the numbers, you get 21 with 7, that's still only 33%.

At a recent company meeting, they were talking about how diverse our workforce is and blah blah blah (I tune out most of that stuff as we are fully remote and I spend most of my time coding), but then they showed a slide that claimed our gender ratio for tech roles was like 50% or something.....

I message a colleague at work, being like "where on earth did they get that number??", he was like ":shrug: maybe they are counting the people who use the product we are making?"

To clarify that, the product we work on is rarely used by external customers. Instead we have employees who know how to use our product and correspond on our behalf with external customers. So all these employees are doing is using a webapp the real tech employees develop.

So long story short, my company pulled a number out of nowhere to claim we have gender equity in the tech roles and now I dont know how to trust any stats a company puts out about how equal the gender roles are in their "tech" departments.

Looking to get a tablet for my birthday but I'm so disconnected I don't know what specs to look for, where to get one or a decent price range to expect. I do need something on the cheaper side, but am ok with something good if refurbished. Only ever had a tablet once and it was a "free*" one from Verizon over a decade ago. I'm also open to other device suggestions.

Wants:

1. Not an iPad
2. To be able to use it with an attachable keyboard as a light laptop replacement for the couch.
3. To be able to use it to play mobile games similarly while on the couch.
4. To set up in the kitchen when cooking with recipes or a video.
5. To work for playing/running D&D or Pathfinder (Foundry VTT is the biggest memory user.

I am wanting to be able to disconnect from my phone and all the work apps and social media and such while still playing farmrpg on a lazy night watching a panel show on TV.

Or watch something on the tablet while knitting or something.

Finally embarking on a side-project that I will be doing with Django.

One thing that I am having to consider is how to do encryption.

Looking at the explanations of different levels of encryption here, I think data at rest is really all I need to do (although, I will probably use cloudflare tunnels which will also ensure data in transit but I just won't be implementing it myself is all).

Now, doing data at rest, doing some research, django-cryptography comes up a lot but that hasn't been updated in forever, to point where an open issue on its repo points to a new library (django-cryptograph-5) that was made specifically cause the devs of django-cryptography seem to have abandoned it, but that same thing could happen to the new off-shoot.

I can't tell if this means that I am looking on the wrong webpages for knowledge of how to do about this or when working in the python open-source ecosystem, there's no list of trustworthy reliable publishers of a library for data at rest encryption? like how Django REST Framework is so established, they even have sponsors now.

The last couple of years have been a wild ride. The biggest parts of the conversation around AI for most of that time have been dominated by absurd levels of hype. To go along with the cringe levels of hype, a lot of people have felt the pain of dealing with the results of rushed and forced AI implementation.

As a result the pushback against AI is loud and passionate. A lot of people are pissed, for good reasons.

Because of that it would be understandable for people casually watching from a distance to get the impression that AI is mostly an investor fueled shitshow with very little real value.

The first part of the sentiment is true, it's definitely a shitshow. Big companies are FOMOing hard, everyone is shoehorning AI into everything they can in hopes of capturing some of that hype money. It feels like crypto, or Web 3.0. The result is a mess and we're nowhere near peak mess yet.

Meanwhile in software engineering the conversation is extremely polarized. There is a large, but shrinking, contingent of people who are absolutely sure that AI is something like a scam. It only looks like a valid tool and in reality it creates more problems than it solves. And until recently that was largely true. The reason that contingent is shrinking, though, is that the latest generation of SOTA models are an undeniable step change. Every day countless developers try using AI for something that it's actually good at and they have the, as yet nameless but novel, realization that "holy shit this changes everything". It's just like every other revolutionary tech tool, you have to know how to use it, and when not to use it.

The reason I bring up software engineering is that code is deterministic. You can objectively measure the results. The incredible language fluency of LLMs can't gloss over code issues. It either identified the bug or it didn't. It either wrote a thorough, valid test or it didn't. It's either good code or it isn't. And here's the thing: It is. Not automatically, or in all cases, and definitely not without careful management and scaffolding. But used well it is undeniably a game changing tool.

But it's not just game changing in software. As in software if it's used badly, or for the wrong things, it's more trouble than it's worth. But used well it's remarkable. I'll give you an example:

A friend was recently using AI to help create the necessary documents for a state government certification process for his business. If you've ever worked with government you've already imagined the mountain of forms, policies and other documentation that were required. I got involved because he ran into some issues getting the AI to deliver.

Going through his session the thing that blew my mind was how little prompting it took to get most of the way there. He essentially said "I need help with X application process for X certification" and then he pasted in a block of relevant requirements from the state. The LLM agent then immediately knew what to do, which documents would be required and which regulations were relevant. It then proceeded to run him through a short Q and A to get the necessary specifics for his business and then it just did it. The entire stack of required documentation was done in under an hour versus the days it would have taken him to do it himself. It didn't require detailed instructions or .md files or MCP servers or artifacts, it just did it.

And he's familiar with this process, he has the expertise to look at the resulting documents and say "yeah this is exactly what the state is looking for". It's not surprising that the model had a lot of government documentation in its training data, it shouldn't even really be mind blowing at this point how effective it was, but it blew my mind anyway. Probably because not having to deal with boring, repetitive paperwork is a miraculous thing from my perspective.

This kind of win is now available in a lot of areas of work and business. It's not hype, it's objectively verifiable utility.

This is not to say that it's not still a mess. I could write an overly long essay on the dangers of AI in software, business and to society at large. We thought social media was bad, that the digital revolution happened too fast for society to adapt... AI is a whole new category of problematic. One that's happening far faster than anything else has. There's no precedent.

But my public service message is this: Don't let the passionate hatred of AI give you the wrong idea: There is real value there. I don't mean this is a FOMO way, you don't have to "use AI or get left behind". The truth is that 6 months from now the combination of new generations of models and improved tooling, scaffolding and workflows will likely make the current iteration of AI look quaint by comparison. There's no rush to figure out a technology that's advancing and changing this quickly because most of what you learn right now will be about solving problems that will be solved by default in the near future.

That being said, AI is the biggest technological leap since the beginning of the public, consumer facing, internet. And I was there for that. Like the internet it will prove to be both good and bad, corporate consolidation will make the bad worse. And, like the internet, the people who are saying it's not revolutionary are going to look silly in the context of history.

I say this from the perspective of someone who has spent the past year casually (and in recent months intensively) learning how to use AI in practical ways, with quantifiable results, both in my own projects and to help other people solve problems in various domains. If I were to distill my career into one concept, it would be: solving problems. So I feel like I'm in a position to speak about problem solving technology with expertise. If you have a use for LLM powered AI, you'll be surprised how useful it is.